Implementation

In these pages, I discuss the details of the implementation.

The software is almost entirely written in Python, using mostly the standard modules numpy and scipy. However, few pieces have also pure C implementations, for the inner heavy computational routines. These may speed up the calculation by roughly one order of magnitude. Note that there is always a Python implementation available, which is 100% compatible. See C interface for details. The list of standard Python modules used is:

• math
• numpy
• scipy.integrate
• scipy.sparse
• scipy.special
• os
• sys
• copy
• time
• timeit
• getpass
• argparse
• configparser
• numba
• ctypes All these modules - except numba and ctypes - are very standard, available on any reasonnable installation of Python. I recommend to use anaconda.

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